Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	3013
Missing cells	5336
Missing cells (%)	8.9%
Duplicate rows	128
Duplicate rows (%)	4.2%
Total size in memory	1.2 MiB
Average record size in memory	402.0 B

Variable types

Text	2
Numeric	10
Categorical	8

Alerts

Dataset has 128 (4.2%) duplicate rows	Duplicates
`Store_Room` is highly imbalanced (70.3%)	Imbalance
`facing` has 891 (29.6%) missing values	Missing
`Carpet_Area` has 1195 (39.7%) missing values	Missing
`Built_Up_Area` has 2071 (68.7%) missing values	Missing
`Super_BuiltUp_Area` has 1080 (35.8%) missing values	Missing
`Carpet_Area` is highly skewed (γ1 = 24.00048554)	Skewed
`Built_Up_Area` is highly skewed (γ1 = 30.64806524)	Skewed
`floorNum` has 136 (4.5%) zeros	Zeros
`luxury_score` has 465 (15.4%) zeros	Zeros

Reproduction

Analysis started	2024-06-01 06:14:20.046843
Analysis finished	2024-06-01 06:14:52.492411
Duration	32.45 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

society
Text

Distinct	607
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Memory size	219.6 KiB

Length

Max length	44
Median length	34
Mean length	17.572851
Min length	1

Characters and Unicode

Total characters	52947
Distinct characters	56
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	268 ?
Unique (%)	8.9%

Sample

1st row	maa bhagwati residency
2nd row	Apna Enclave
3rd row	Tulsiani Easy in Homes
4th row	Smart World Orchard
5th row	Parkwood Westend

Value	Count	Frequency (%)
the	396	4.7%
park	212	2.5%
dlf	181	2.1%
global	164	1.9%
mm	156	1.8%
signature	154	1.8%
emaar	139	1.6%
heights	134	1.6%
godrej	121	1.4%
tulip	105	1.2%
Other values (674)	6673	79.1%

Most occurring characters

Value	Count	Frequency (%)
	5699	10.8%
a	4861	9.2%
e	4759	9.0%
r	3732	7.0%
i	2848	5.4%
o	2346	4.4%
n	2302	4.3%
l	2252	4.3%
t	2159	4.1%
s	1977	3.7%
Other values (46)	20012	37.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37215	70.3%
Uppercase Letter	10019	18.9%
Space Separator	5699	10.8%
Other Punctuation	11	< 0.1%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4861	13.1%
e	4759	12.8%
r	3732	10.0%
i	2848	7.7%
o	2346	6.3%
n	2302	6.2%
l	2252	6.1%
t	2159	5.8%
s	1977	5.3%
h	1485	4.0%
Other values (16)	8494	22.8%

Uppercase Letter

Value	Count	Frequency (%)
S	1273	12.7%
P	864	8.6%
T	849	8.5%
G	847	8.5%
A	677	6.8%
M	620	6.2%
V	598	6.0%
C	522	5.2%
H	512	5.1%
L	488	4.9%
Other values (16)	2769	27.6%

Other Punctuation

Value	Count	Frequency (%)
,	10	90.9%
.	1	9.1%

Space Separator

Value	Count	Frequency (%)
	5699	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47234	89.2%
Common	5713	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4861	10.3%
e	4759	10.1%
r	3732	7.9%
i	2848	6.0%
o	2346	5.0%
n	2302	4.9%
l	2252	4.8%
t	2159	4.6%
s	1977	4.2%
h	1485	3.1%
Other values (42)	18513	39.2%

Common

Value	Count	Frequency (%)
	5699	99.8%
,	10	0.2%
-	3	0.1%
.	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52947	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5699	10.8%
a	4861	9.2%
e	4759	9.0%
r	3732	7.0%
i	2848	5.4%
o	2346	4.4%
n	2302	4.3%
l	2252	4.3%
t	2159	4.1%
s	1977	3.7%
Other values (46)	20012	37.8%

price
Real number (ℝ)

Distinct	438
Distinct (%)	14.6%
Missing	20
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	170.80975

Minimum	16
Maximum	1500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	16
5-th percentile	35
Q1	90
median	137
Q3	203
95-th percentile	425
Maximum	1500
Range	1484
Interquartile range (IQR)	113

Descriptive statistics

Standard deviation	139.89749
Coefficient of variation (CV)	0.81902524
Kurtosis	14.684263
Mean	170.80975
Median Absolute Deviation (MAD)	55
Skewness	2.9677285
Sum	511233.57
Variance	19571.309
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
125	79	2.6%
110	61	2.0%
140	60	2.0%
150	59	2.0%
120	59	2.0%
90	58	1.9%
130	57	1.9%
95	53	1.8%
200	51	1.7%
175	47	1.6%
Other values (428)	2409	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	1	< 0.1%
17.5	1	< 0.1%
19	1	< 0.1%
20	8	0.3%
20.5	1	< 0.1%
21	6	0.2%
22	9	0.3%
23	1	< 0.1%
23.5	1	< 0.1%
24	5	0.2%

Value	Count	Frequency (%)
1500	1	< 0.1%
1400	2	0.1%
1320	1	< 0.1%
1125	1	< 0.1%
1100	2	0.1%
1075	1	< 0.1%
1000	1	< 0.1%
995	1	< 0.1%
930	1	< 0.1%
920	1	< 0.1%

price_per_sqft
Real number (ℝ)

Distinct	2129
Distinct (%)	70.7%
Missing	2
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	9389.6453

Minimum	4
Maximum	200000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	4
5-th percentile	4641.5
Q1	6476
median	8333
Q3	11102.5
95-th percentile	16666
Maximum	200000
Range	199996
Interquartile range (IQR)	4626.5

Descriptive statistics

Standard deviation	6552.4691
Coefficient of variation (CV)	0.69783989
Kurtosis	477.13451
Mean	9389.6453
Median Absolute Deviation (MAD)	2132
Skewness	17.077298
Sum	28272222
Variance	42934851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	19	0.6%
8000	16	0.5%
12500	16	0.5%
5000	13	0.4%
8333	12	0.4%
6666	12	0.4%
7500	12	0.4%
6000	11	0.4%
8461	9	0.3%
7000	8	0.3%
Other values (2119)	2883	95.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
200000	2	0.1%
57507	1	< 0.1%
50000	1	< 0.1%
46917	1	< 0.1%
41666	1	< 0.1%
41245	2	0.1%
35483	1	< 0.1%
35222	1	< 0.1%
33209	1	< 0.1%
33198	2	0.1%

bedRoom
Real number (ℝ)

Distinct	6
Distinct (%)	0.2%
Missing	19
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	2.7992652

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.78966731
Coefficient of variation (CV)	0.28209807
Kurtosis	0.021026014
Mean	2.7992652
Median Absolute Deviation (MAD)	1
Skewness	0.12299297
Sum	8381
Variance	0.62357447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	1436	47.7%
2	942	31.3%
4	478	15.9%
1	104	3.5%
5	31	1.0%
6	3	0.1%
(Missing)	19	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	104	3.5%
2	942	31.3%
3	1436	47.7%
4	478	15.9%
5	31	1.0%
6	3	0.1%

Value	Count	Frequency (%)
6	3	0.1%
5	31	1.0%
4	478	15.9%
3	1436	47.7%
2	942	31.3%
1	104	3.5%

bathroom
Real number (ℝ)

Distinct	7
Distinct (%)	0.2%
Missing	19
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	2.9512358

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	7
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.0425111
Coefficient of variation (CV)	0.35324562
Kurtosis	0.17018977
Mean	2.9512358
Median Absolute Deviation (MAD)	1
Skewness	0.58432537
Sum	8836
Variance	1.0868294
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	1042	34.6%
3	988	32.8%
4	636	21.1%
5	169	5.6%
1	112	3.7%
6	42	1.4%
7	5	0.2%
(Missing)	19	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	112	3.7%
2	1042	34.6%
3	988	32.8%
4	636	21.1%
5	169	5.6%
6	42	1.4%
7	5	0.2%

Value	Count	Frequency (%)
7	5	0.2%
6	42	1.4%
5	169	5.6%
4	636	21.1%
3	988	32.8%
2	1042	34.6%
1	112	3.7%

balcony
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	19
Missing (%)	0.6%
Memory size	176.7 KiB

3.0	1835
2.0	749
1.0	314
0.0	96

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	8982
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	3.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	1835	60.9%
2.0	749	24.9%
1.0	314	10.4%
0.0	96	3.2%
(Missing)	19	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	1835	61.3%
2.0	749	25.0%
1.0	314	10.5%
0.0	96	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	3090	34.4%
.	2994	33.3%
3	1835	20.4%
2	749	8.3%
1	314	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5988	66.7%
Other Punctuation	2994	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3090	51.6%
3	1835	30.6%
2	749	12.5%
1	314	5.2%

Other Punctuation

Value	Count	Frequency (%)
.	2994	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8982	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3090	34.4%
.	2994	33.3%
3	1835	20.4%
2	749	8.3%
1	314	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8982	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3090	34.4%
.	2994	33.3%
3	1835	20.4%
2	749	8.3%
1	314	3.5%

floorNum
Real number (ℝ)

ZEROS

Distinct	42
Distinct (%)	1.4%
Missing	20
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	7.9021049

Minimum	0
Maximum	45
Zeros	136
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	7
Q3	11
95-th percentile	19
Maximum	45
Range	45
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.2000495
Coefficient of variation (CV)	0.78460734
Kurtosis	3.2678425
Mean	7.9021049
Median Absolute Deviation (MAD)	4
Skewness	1.3783428
Sum	23651
Variance	38.440614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
2	258	8.6%
3	248	8.2%
1	219	7.3%
4	203	6.7%
8	199	6.6%
7	188	6.2%
10	185	6.1%
6	185	6.1%
5	172	5.7%
9	171	5.7%
Other values (32)	965	32.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	136	4.5%
1	219	7.3%
2	258	8.6%
3	248	8.2%
4	203	6.7%
5	172	5.7%
6	185	6.1%
7	188	6.2%
8	199	6.6%
9	171	5.7%

Value	Count	Frequency (%)
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	2	0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	3	0.1%
32	2	0.1%

facing
Categorical

MISSING

Distinct	8
Distinct (%)	0.4%
Missing	891
Missing (%)	29.6%
Memory size	188.3 KiB

North-East	505
East	489
North	301
South	203
West	183
Other values (3)	441

Length

Max length	10
Median length	5
Mean length	6.9123468
Min length	4

Characters and Unicode

Total characters	14668
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	West
2nd row	West
3rd row	North-East
4th row	South-East
5th row	East

Common Values

Value	Count	Frequency (%)
North-East	505	16.8%
East	489	16.2%
North	301	10.0%
South	203	6.7%
West	183	6.1%
North-West	162	5.4%
South-East	144	4.8%
South-West	135	4.5%
(Missing)	891	29.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	505	23.8%
east	489	23.0%
north	301	14.2%
south	203	9.6%
west	183	8.6%
north-west	162	7.6%
south-east	144	6.8%
south-west	135	6.4%

Most occurring characters

Value	Count	Frequency (%)
t	3068	20.9%
s	1618	11.0%
o	1450	9.9%
h	1450	9.9%
E	1138	7.8%
a	1138	7.8%
N	968	6.6%
r	968	6.6%
-	946	6.4%
S	482	3.3%
Other values (3)	1442	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10654	72.6%
Uppercase Letter	3068	20.9%
Dash Punctuation	946	6.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3068	28.8%
s	1618	15.2%
o	1450	13.6%
h	1450	13.6%
a	1138	10.7%
r	968	9.1%
u	482	4.5%
e	480	4.5%

Uppercase Letter

Value	Count	Frequency (%)
E	1138	37.1%
N	968	31.6%
S	482	15.7%
W	480	15.6%

Dash Punctuation

Value	Count	Frequency (%)
-	946	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13722	93.6%
Common	946	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3068	22.4%
s	1618	11.8%
o	1450	10.6%
h	1450	10.6%
E	1138	8.3%
a	1138	8.3%
N	968	7.1%
r	968	7.1%
S	482	3.5%
u	482	3.5%
Other values (2)	960	7.0%

Common

Value	Count	Frequency (%)
-	946	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14668	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3068	20.9%
s	1618	11.0%
o	1450	9.9%
h	1450	9.9%
E	1138	7.8%
a	1138	7.8%
N	968	6.6%
r	968	6.6%
-	946	6.4%
S	482	3.3%
Other values (3)	1442	9.8%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	207.7 KiB

Relatively New	1476
New Property	530
Moderately Old	360
Under Construction	274
Undefined	236

Length

Max length	18
Median length	14
Mean length	13.529373
Min length	9

Characters and Unicode

Total characters	40764
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Old Property
3rd row	New Property
4th row	Under Construction
5th row	Under Construction

Common Values

Value	Count	Frequency (%)
Relatively New	1476	49.0%
New Property	530	17.6%
Moderately Old	360	11.9%
Under Construction	274	9.1%
Undefined	236	7.8%
Old Property	137	4.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2006	34.6%
relatively	1476	25.5%
property	667	11.5%
old	497	8.6%
moderately	360	6.2%
under	274	4.7%
construction	274	4.7%
undefined	236	4.1%

Most occurring characters

Value	Count	Frequency (%)
e	7091	17.4%
l	3809	9.3%
t	3051	7.5%
	2777	6.8%
y	2503	6.1%
r	2242	5.5%
N	2006	4.9%
w	2006	4.9%
i	1986	4.9%
a	1836	4.5%
Other values (15)	11457	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32197	79.0%
Uppercase Letter	5790	14.2%
Space Separator	2777	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7091	22.0%
l	3809	11.8%
t	3051	9.5%
y	2503	7.8%
r	2242	7.0%
w	2006	6.2%
i	1986	6.2%
a	1836	5.7%
d	1603	5.0%
o	1575	4.9%
Other values (7)	4495	14.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2006	34.6%
R	1476	25.5%
P	667	11.5%
U	510	8.8%
O	497	8.6%
M	360	6.2%
C	274	4.7%

Space Separator

Value	Count	Frequency (%)
	2777	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37987	93.2%
Common	2777	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7091	18.7%
l	3809	10.0%
t	3051	8.0%
y	2503	6.6%
r	2242	5.9%
N	2006	5.3%
w	2006	5.3%
i	1986	5.2%
a	1836	4.8%
d	1603	4.2%
Other values (14)	9854	25.9%

Common

Value	Count	Frequency (%)
	2777	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40764	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	7091	17.4%
l	3809	9.3%
t	3051	7.5%
	2777	6.8%
y	2503	6.1%
r	2242	5.5%
N	2006	4.9%
w	2006	4.9%
i	1986	4.9%
a	1836	4.5%
Other values (15)	11457	28.1%

BHK
Real number (ℝ)

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7985397

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.78977395
Coefficient of variation (CV)	0.28220931
Kurtosis	0.017500352
Mean	2.7985397
Median Absolute Deviation (MAD)	1
Skewness	0.12213235
Sum	8432
Variance	0.62374289
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	1444	47.9%
2	949	31.5%
4	481	16.0%
1	105	3.5%
5	31	1.0%
6	3	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	105	3.5%
2	949	31.5%
3	1444	47.9%
4	481	16.0%
5	31	1.0%
6	3	0.1%

Value	Count	Frequency (%)
6	3	0.1%
5	31	1.0%
4	481	16.0%
3	1444	47.9%
2	949	31.5%
1	105	3.5%

Location
Text

Distinct	186
Distinct (%)	6.2%
Missing	0
Missing (%)	0.0%
Memory size	219.0 KiB

Length

Max length	34
Median length	18
Mean length	17.377365
Min length	5

Characters and Unicode

Total characters	52358
Distinct characters	57
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	1.5%

Sample

1st row	Krishna Colony
2nd row	Ashok Vihar
3rd row	Sohna
4th row	Sector 61 Gurgaon
5th row	Sector 92 Gurgaon

Value	Count	Frequency (%)
sector	2565	29.9%
gurgaon	2550	29.7%
sohna	224	2.6%
102	113	1.3%
85	109	1.3%
92	100	1.2%
69	92	1.1%
90	90	1.0%
65	89	1.0%
81	87	1.0%
Other values (193)	2564	29.9%

Most occurring characters

Value	Count	Frequency (%)
	8582	16.4%
o	5509	10.5%
r	5413	10.3%
a	3297	6.3%
n	2918	5.6%
S	2862	5.5%
e	2771	5.3%
t	2704	5.2%
c	2633	5.0%
u	2618	5.0%
Other values (47)	13051	24.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31581	60.3%
Space Separator	8582	16.4%
Uppercase Letter	6369	12.2%
Decimal Number	5763	11.0%
Dash Punctuation	57	0.1%
Other Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	5509	17.4%
r	5413	17.1%
a	3297	10.4%
n	2918	9.2%
e	2771	8.8%
t	2704	8.6%
c	2633	8.3%
u	2618	8.3%
g	2567	8.1%
h	403	1.3%
Other values (14)	748	2.4%

Uppercase Letter

Value	Count	Frequency (%)
S	2862	44.9%
G	2574	40.4%
A	237	3.7%
D	112	1.8%
C	107	1.7%
P	107	1.7%
V	67	1.1%
M	55	0.9%
L	54	0.8%
N	46	0.7%
Other values (10)	148	2.3%

Decimal Number

Value	Count	Frequency (%)
1	896	15.5%
9	727	12.6%
8	695	12.1%
0	661	11.5%
6	611	10.6%
7	596	10.3%
3	507	8.8%
5	410	7.1%
2	407	7.1%
4	253	4.4%

Space Separator

Value	Count	Frequency (%)
	8582	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	57	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37950	72.5%
Common	14408	27.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	5509	14.5%
r	5413	14.3%
a	3297	8.7%
n	2918	7.7%
S	2862	7.5%
e	2771	7.3%
t	2704	7.1%
c	2633	6.9%
u	2618	6.9%
G	2574	6.8%
Other values (34)	4651	12.3%

Common

Value	Count	Frequency (%)
	8582	59.6%
1	896	6.2%
9	727	5.0%
8	695	4.8%
0	661	4.6%
6	611	4.2%
7	596	4.1%
3	507	3.5%
5	410	2.8%
2	407	2.8%
Other values (3)	316	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52358	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8582	16.4%
o	5509	10.5%
r	5413	10.3%
a	3297	6.3%
n	2918	5.6%
S	2862	5.5%
e	2771	5.3%
t	2704	5.2%
c	2633	5.0%
u	2618	5.0%
Other values (47)	13051	24.9%

Servant_Room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	170.8 KiB

0	2013
1	1000

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3013
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2013	66.8%
1	1000	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2013	66.8%
1	1000	33.2%

Most occurring characters

Value	Count	Frequency (%)
0	2013	66.8%
1	1000	33.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3013	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2013	66.8%
1	1000	33.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3013	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2013	66.8%
1	1000	33.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2013	66.8%
1	1000	33.2%

Study_Room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	170.8 KiB

0	2532
1	481

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3013
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2532	84.0%
1	481	16.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2532	84.0%
1	481	16.0%

Most occurring characters

Value	Count	Frequency (%)
0	2532	84.0%
1	481	16.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3013	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2532	84.0%
1	481	16.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3013	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2532	84.0%
1	481	16.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2532	84.0%
1	481	16.0%

Pooja_Room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	170.8 KiB

0	2651
1	362

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3013
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2651	88.0%
1	362	12.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2651	88.0%
1	362	12.0%

Most occurring characters

Value	Count	Frequency (%)
0	2651	88.0%
1	362	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3013	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2651	88.0%
1	362	12.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3013	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2651	88.0%
1	362	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2651	88.0%
1	362	12.0%

Store_Room
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	170.8 KiB

0	2855
1	158

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3013
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2855	94.8%
1	158	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2855	94.8%
1	158	5.2%

Most occurring characters

Value	Count	Frequency (%)
0	2855	94.8%
1	158	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3013	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2855	94.8%
1	158	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3013	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2855	94.8%
1	158	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2855	94.8%
1	158	5.2%

Carpet_Area
Real number (ℝ)

MISSING SKEWED

Distinct	689
Distinct (%)	37.9%
Missing	1195
Missing (%)	39.7%
Infinite	0
Infinite (%)	0.0%
Mean	2546.6568

Minimum	66
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	66
5-th percentile	481
Q1	876.75
median	1300
Q3	1764.7975
95-th percentile	2800
Maximum	607936
Range	607870
Interquartile range (IQR)	888.0475

Descriptive statistics

Standard deviation	23128.91
Coefficient of variation (CV)	9.0820682
Kurtosis	587.72587
Mean	2546.6568
Median Absolute Deviation (MAD)	450
Skewness	24.000486
Sum	4629822
Variance	5.349465 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	40	1.3%
1600	35	1.2%
1800	33	1.1%
1200	31	1.0%
1500	29	1.0%
1350	28	0.9%
1650	26	0.9%
1300	22	0.7%
2000	21	0.7%
1000	21	0.7%
Other values (679)	1532	50.8%
(Missing)	1195	39.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	2	0.1%
77.53	1	< 0.1%
84.01	1	< 0.1%
86	2	0.1%
92	3	0.1%
92.44	1	< 0.1%
100	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

Built_Up_Area
Real number (ℝ)

MISSING SKEWED

Distinct	393
Distinct (%)	41.7%
Missing	2071
Missing (%)	68.7%
Infinite	0
Infinite (%)	0.0%
Mean	2489.2199

Minimum	97
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	97
5-th percentile	658.55
Q1	1275.1325
median	1615.5
Q3	2000
95-th percentile	3142.9
Maximum	737147
Range	737050
Interquartile range (IQR)	724.8675

Descriptive statistics

Standard deviation	23973.316
Coefficient of variation (CV)	9.6308552
Kurtosis	940.19829
Mean	2489.2199
Median Absolute Deviation (MAD)	375.5
Skewness	30.648065
Sum	2344845.1
Variance	5.7471988 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1900	31	1.0%
1600	24	0.8%
1300	23	0.8%
2000	21	0.7%
1700	20	0.7%
1350	17	0.6%
1800	16	0.5%
2200	15	0.5%
2600	14	0.5%
1500	14	0.5%
Other values (383)	747	24.8%
(Missing)	2071	68.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
97	2	0.1%
118	1	< 0.1%
129.42	1	< 0.1%
140	1	< 0.1%
300	1	< 0.1%
301	2	0.1%
318	1	< 0.1%
425	1	< 0.1%
430	1	< 0.1%
450	2	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
5350	1	< 0.1%
5200	2	0.1%
5010	1	< 0.1%
5000	1	< 0.1%
4800	1	< 0.1%
4630	1	< 0.1%
4600	1	< 0.1%
4500	1	< 0.1%
4200	1	< 0.1%

Super_BuiltUp_Area
Real number (ℝ)

MISSING

Distinct	599
Distinct (%)	31.0%
Missing	1080
Missing (%)	35.8%
Infinite	0
Infinite (%)	0.0%
Mean	1917.7975

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	89
5-th percentile	748
Q1	1457
median	1825
Q3	2215
95-th percentile	3187.8
Maximum	10000
Range	9911
Interquartile range (IQR)	758

Descriptive statistics

Standard deviation	768.43168
Coefficient of variation (CV)	0.40068447
Kurtosis	9.9399156
Mean	1917.7975
Median Absolute Deviation (MAD)	375
Skewness	1.8047182
Sum	3707102.6
Variance	590487.25
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	38	1.3%
1950	38	1.3%
2000	26	0.9%
1578	25	0.8%
2150	23	0.8%
1640	22	0.7%
2408	20	0.7%
1900	19	0.6%
1350	19	0.6%
1930	18	0.6%
Other values (589)	1685	55.9%
(Missing)	1080	35.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	2	0.1%
4848	2	0.1%

luxury_score
Real number (ℝ)

ZEROS

Distinct	51
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.913707

Minimum	0
Maximum	62
Zeros	465
Zeros (%)	15.4%
Negative	0
Negative (%)	0.0%
Memory size	23.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	17
median	28
Q3	53
95-th percentile	62
Maximum	62
Range	62
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	20.402048
Coefficient of variation (CV)	0.63928792
Kurtosis	-1.1361051
Mean	31.913707
Median Absolute Deviation (MAD)	19
Skewness	-0.11103683
Sum	96156
Variance	416.24355
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	465	15.4%
62	405	13.4%
28	389	12.9%
53	349	11.6%
47	171	5.7%
34	88	2.9%
20	72	2.4%
37	72	2.4%
27	53	1.8%
15	51	1.7%
Other values (41)	898	29.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	465	15.4%
6	17	0.6%
7	43	1.4%
8	34	1.1%
9	48	1.6%
10	12	0.4%
12	1	< 0.1%
13	31	1.0%
14	20	0.7%
15	51	1.7%

Value	Count	Frequency (%)
62	405	13.4%
56	11	0.4%
55	2	0.1%
54	3	0.1%
53	349	11.6%
52	11	0.4%
50	1	< 0.1%
49	6	0.2%
48	1	< 0.1%
47	171	5.7%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	170.8 KiB

0	2030
1	826
2	157

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3013
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2030	67.4%
1	826	27.4%
2	157	5.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2030	67.4%
1	826	27.4%
2	157	5.2%

Most occurring characters

Value	Count	Frequency (%)
0	2030	67.4%
1	826	27.4%
2	157	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3013	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2030	67.4%
1	826	27.4%
2	157	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3013	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2030	67.4%
1	826	27.4%
2	157	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2030	67.4%
1	826	27.4%
2	157	5.2%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	society	price	price_per_sqft	bedRoom	bathroom	balcony	floorNum	facing	agePossession	BHK	Location	Servant_Room	Study_Room	Carpet_Area	Built_Up_Area	Super_BuiltUp_Area	luxury_score	furnishing_type
0	maa bhagwati residency	45.0	5000.0	2.0	2.0	1.0	4.0	West	Relatively New	2	Krishna Colony	0	0	900.0	NaN	NaN	13	0
1	Apna Enclave	50.0	7692.0	2.0	2.0	1.0	1.0	West	Old Property	2	Ashok Vihar	0	0	650.0	NaN	NaN	20	1
2	Tulsiani Easy in Homes	40.0	6722.0	2.0	2.0	3.0	12.0	NaN	New Property	2	Sohna	0	0	595.0	NaN	NaN	17	0
3	Smart World Orchard	147.0	12250.0	2.0	2.0	2.0	2.0	NaN	Under Construction	2	Sector 61 Gurgaon	0	1	1200.0	NaN	NaN	29	0
4	Parkwood Westend	70.0	5204.0	2.0	2.0	3.0	5.0	NaN	Under Construction	2	Sector 92 Gurgaon	0	1	NaN	NaN	1345.0	0	0
5	Signature Global Infinity Mall	41.0	6269.0	2.0	2.0	3.0	3.0	NaN	Undefined	2	Sector 36 Gurgaon	0	0	NaN	654.0	NaN	0	0
6	The Cocoon	200.0	13333.0	3.0	3.0	3.0	5.0	NaN	New Property	3	Dwarka Expressway Gurgaon	0	0	NaN	NaN	1500.0	0	0
7	ATS Triumph	180.0	7860.0	3.0	4.0	3.0	14.0	NaN	New Property	3	Sector 104 Gurgaon	0	0	2290.0	NaN	NaN	24	0
8	Vatika XpreSS The Leafions	110.0	8148.0	2.0	4.0	3.0	2.0	North-East	Under Construction	2	Sector 88B Gurgaon	0	1	1050.0	1350.0	NaN	24	0
9	Raheja Revanta	475.0	16885.0	3.0	3.0	2.0	31.0	NaN	Under Construction	3	Sector 78 Gurgaon	1	0	NaN	2813.0	NaN	37	0

	society	price	price_per_sqft	bedRoom	bathroom	balcony	floorNum	facing	agePossession	BHK	Location	Servant_Room	Study_Room	Pooja_Room	Carpet_Area	Built_Up_Area	Super_BuiltUp_Area	luxury_score	furnishing_type
3003	Palam Vihar Society	40.0	8602.0	1.0	1.0	1.0	5.0	North	Moderately Old	1	Palam Vihar	0	0	0	425.0	450.0	465.0	23	2
3004	MM Woodshire	140.0	5929.0	3.0	4.0	0.0	1.0	East	New Property	3	Sector 107 Gurgaon	0	0	0	NaN	NaN	2361.0	34	0
3005	Krishna appartment	35.0	3500.0	3.0	3.0	1.0	2.0	NaN	Old Property	3	Dharam Colony	0	0	0	NaN	NaN	1000.0	0	0
3006	Spire Woods Now Ananda by Alpha corp	125.0	6902.0	3.0	4.0	3.0	11.0	NaN	Under Construction	3	Sector 103 Gurgaon	1	1	0	1811.0	NaN	NaN	49	0
3007	DLF Regency Park	135.0	11992.0	2.0	2.0	2.0	1.0	NaN	Moderately Old	2	DLF Phase 4	0	0	0	NaN	1109.0	NaN	0	0
3008	Ansal Heights	105.0	5541.0	3.0	3.0	3.0	9.0	North-East	Under Construction	3	Sector 86 Gurgaon	1	0	0	NaN	NaN	1895.0	0	0
3009	Parsvnath Green Ville	330.0	9984.0	5.0	5.0	3.0	4.0	NaN	Old Property	5	Sector 48 Gurgaon	1	0	0	NaN	3305.0	3905.0	32	0
3010	Raheja Vedaanta	95.0	5214.0	3.0	3.0	3.0	3.0	NaN	Relatively New	3	Sector 108 Gurgaon	0	0	0	NaN	NaN	1822.0	47	0
3011	Ambience Lagoon	580.0	12500.0	3.0	4.0	3.0	9.0	North-East	Old Property	3	DLF Phase 3	1	1	1	NaN	3700.0	NaN	28	2
3012	DLF The Crest	1100.0	35222.0	4.0	6.0	3.0	7.0	NaN	Relatively New	4	Sector 54 Gurgaon	1	0	0	NaN	NaN	3123.0	52	2

Most frequently occurring

	society	price	price_per_sqft	bedRoom	bathroom	balcony	floorNum	facing	agePossession	BHK	Location	Servant_Room	Study_Room	Carpet_Area	Built_Up_Area	Super_BuiltUp_Area	luxury_score	# duplicates
0	ASS The Leafotech Blith	92.0	6739.0	2.0	2.0	3.0	22.0	NaN	Under Construction	2	Sector 99 Gurgaon	0	0	NaN	NaN	1365.0	26	2
1	ASS The Leafotech Blith	190.0	6702.0	4.0	4.0	3.0	2.0	North-East	Undefined	4	Sector 99 Gurgaon	0	0	NaN	2835.0	NaN	0	2
2	ATS Tourmaline	230.0	8897.0	3.0	4.0	3.0	10.0	East	New Property	3	Sector 109 Gurgaon	1	0	NaN	NaN	2585.0	40	2
3	ATS Triumph	200.0	8733.0	3.0	4.0	3.0	4.0	NaN	Relatively New	3	Sector 104 Gurgaon	1	0	NaN	NaN	2290.0	24	2
4	AVL Gurgaon	75.0	7500.0	2.0	2.0	2.0	5.0	North-East	Relatively New	2	Sector 36A Gurgaon	0	0	727.0	NaN	1000.0	15	2
5	Ambience Caitriona	1400.0	200000.0	4.0	5.0	3.0	3.0	East	Undefined	4	Sector 24 Gurgaon	0	0	NaN	700.0	NaN	0	2
6	Ansal Heights	90.0	5325.0	3.0	3.0	2.0	10.0	NaN	New Property	3	Sector 86 Gurgaon	0	0	NaN	1690.0	NaN	22	2
7	Ansal Heights	130.0	4666.0	4.0	6.0	2.0	11.0	East	New Property	4	Sector 86 Gurgaon	1	0	NaN	NaN	2786.0	33	2
8	Ansal Housing Highland Park	87.5	6429.0	2.0	2.0	3.0	3.0	NaN	New Property	2	Sector 103 Gurgaon	0	0	NaN	NaN	1361.0	33	2
9	Antriksh Heights	85.0	5556.0	2.0	2.0	3.0	10.0	North-West	New Property	2	Sector 84 Gurgaon	0	1	NaN	NaN	1350.0	9	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values